mc_compute_rho: Autocorrelation Estimates

In mcglm: Multivariate Covariance Generalized Linear Models

Autocorrelation Estimates

Description

Compute autocorrelation estimates based on a fitted model using the mc_car structure. The mcglm approach fits models using a linear covariance structure, but in general in this parametrization for spatial models the parameters have no simple interpretation in terms of spatial autocorrelation. The function mc_compute_rho computes the autocorrelation based on a fitted model.

Usage

mc_compute_rho(object, level = 0.975)

Arguments

object	an object or a list of objects representing a model of mcglm class.
level	the confidence level required.

Value

Returns estimate, standard error and confidential interval for the spatial autocorrelation parameter.

Author(s)

Wagner Hugo Bonat, [e-mail]

Source

Bonat, W. H. (2018). Multiple Response Variables Regression Models in R: The mcglm Package. Journal of Statistical Software, 84(4):1–30.

See Also

mc_car and mc_conditional_test.

mcglm documentation built on Sept. 16, 2022, 1:06 a.m.